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一种基于神经网络的Hash函数算法研究
引用本文:韦玉轩,韦鹏程.一种基于神经网络的Hash函数算法研究[J].计算机工程与应用,2006,42(14):72-75.
作者姓名:韦玉轩  韦鹏程
作者单位:1. 广西建设职业技术学院,南宁,530003
2. 重庆教育学院计算机与现代教育技术系,重庆,400067
基金项目:中国科学院资助项目;重庆市科委资助项目;重庆市教委资助项目
摘    要:如何设计高效、安全的带秘密密钥的单向函数一直是现代密码学研究中的一个热点。首先用神经网络来训练一维非线性分段映射产生混沌序列,并利用该模型产生的非线性序列构造带秘密密钥的Hash函数,该算法的优点之一是神经网络隐式混沌映射关系使直接获取映射关系变得困难,实验结果表明,这种算法具有对初值有高度敏感性、很好的单向性、弱碰撞性,较基于单一混沌映射的Hash函数具有更强的保密性能,且实现简单。

关 键 词:神经网络  Hash函数  混沌  分段非线性映射
文章编号:1002-8331-(2006)14-0072-04
收稿时间:2006-01
修稿时间:2006-01

A Novel Hash Function Algorithm Based on the Neural Network
Wei Yuxuan,Wei Pengcheng.A Novel Hash Function Algorithm Based on the Neural Network[J].Computer Engineering and Applications,2006,42(14):72-75.
Authors:Wei Yuxuan  Wei Pengcheng
Affiliation:1. Guangxi Polytechnic of Construction College, Nanning 530003; 2. Department of Computer and Modern Education Technology, Chongqing Education College,Chongqing 400067
Abstract:How to design an efficient and secure keyed Hash function is always the hot point in modem cryptography researches.In this paper,A better chaos sequence is generated by the neural network through training the known chaotic sequence generated by a piecewise nonlinear,Then the sequence is used to construct keyed Hash function.One advantage of the algorithm is that the hidden-mapping model of neural network makes it difficult to get the direct mapping function of the ordinary chaos encryption algorithm.Simulation results show that the keyed Hash function based on the neural network has good one-way,weak collision property,better security and it can be realized easily.
Keywords:neural network  Hash funetion  ehaos  pieeewise nonlinear map
本文献已被 CNKI 维普 万方数据 等数据库收录!
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